Engaged in the research and development of the landside one-key landing function of Quayside Crane;
Engaged in the research and development of the seaside one-key landing function of Quayside Crane;
Engaged in the research and development of automatic control algorithms for Gantry Crane;
Research on the automatic container control strategy, which is based on the prediction of spreader posture state.
Job Qualifications:
Familiar with the simulation and modeling of basic control algorithms, familiar with PID control, adaptive control, system identification, feedforward algorithm, filtering, notching, etc.;
Understand the motion control characteristics of lifting equipment;
Proficient in C++ programming, familiar with basic data structures and algorithms;
Familiar with MATLAB or Python, with certain control and simulation ability;
Linux/Unix programming is preferred;
ROS development, laser and vision algorithm implementers are preferred;
Have good communication skills and certain teamwork skills;
Able to adapt to the work arrangement of domestic and foreign business trips according to the needs of the project.
Flow State Recruitment